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Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data 

Serradilla, Oscar; Zugasti, Ekhi; Zurutuza, Urko (MDPI, 2021)
Predictive maintenance (PdM) has the potential to reduce industrial costs by anticipating failures and extending the work life of components. Nowadays, factories are monitoring their assets and most collected data belong ...
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Towards data-driven predictive maintenance for industrial robots 

Izagirre Aizpitarte, Unai; Izagirre, Unai (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2021)
The automation of industry in general and the use of industrial robots in assembly lines in particular has considerably increased in the last two decades. Although industrial robots have received significant attention from ...

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Authorbcce90727237eac3d600e78c870b9b62 (1)Izagirre Aizpitarte, Unai (1)Izagirre, Unai (1)Serradilla, Oscar (1)Zurutuza, Urko (1)Subject
Industry 4.0 (2)
predictive maintenance (2)
autoencoder (1)Cyber-Physical Systems (1)Data Analysis (1)deep learning (1)diagnosis (1)Energy Efficiency (1)Explainable Artificial Intelligence (1)fault detection (1)... View MoreDate Issued
2021 (2)
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